中国LNG进口的地缘政治风险评估与国别对比分析

Geopolitical risk assessment and cross-country comparative analysis of China’s LNG imports

  • 摘要:
    目的 在全球能源转型与大国博弈加剧的时代背景下,保障液化天然气进口安全已成为中国实现“能源强国”战略的重要问题。传统研究多将地缘政治风险视为宏观背景,缺乏量化其在全球能源供应链中结构性影响与国别异质性的评估工具。为精准刻画中国LNG进口面临的地缘政治风险谱系,亟需研究构建一个空间解构分析框架。
    方法 融合能源地理学与地缘政治学视角,构建涵盖“来源国-运输通道-关键要塞-基础设施”四大风险维度的多层评估体系。通过整合联合国贸易数据、船舶自动识别轨迹数据、地缘政治风险指数等多源异构数据,对2020—2024年间中国LNG进口地缘风险逐年进行量化测度。
    结果 综合风险差异显著,尼日利亚与卡塔尔属高风险国家,俄罗斯、美国等6个国家为中风险,澳大利亚与文莱为低风险。风险结构呈现国别异质性,美国在来源国风险维度突出,尼日利亚运输通道风险最高,卡塔尔与尼日利亚在关键要塞风险上处于高位,多国在基础设施风险上表现脆弱。主导风险的具体成因亦有国别差异,包括美国的政策不确定性、尼日利亚的航线脆弱性、卡塔尔的单一通道依赖等。
    结论 中国LNG进口地缘风险的多维特征与国别异质性表明,能源安全保障需从宏观叙事转向基于空间解构的精准治理,针对不同国家主导风险类型实施差异化策略是提升供应韧性的关键。研究结果为能源地缘风险的量化提供了分析工具,后续需融合动态预警模型以强化风险实时监测能力。

     

    Abstract:
    Objective Amid the global energy transition and intensifying major-power competition, securing liquefied natural gas (LNG) imports has become vital to China’s strategy for building an “Energy Powerhouse”. Traditional research often treats geopolitical risk as a broad context, lacking quantitative tools to analyze its structural impacts and country-specific variations within the global energy supply chain. To accurately characterize the full spectrum of geopolitical risks facing China’s LNG imports, there is an urgent need to develop a spatially disaggregated analysis framework.
    Methods From the integrated perspectives of energy geography and geopolitics, a multi-level evaluation system was established, covering four risk dimensions: source country, transportation corridor, key chokepoints, and infrastructure. Using multi-source heterogeneous data—including United Nations (UN) trade statistics, automatic identification system (AIS) shipping trajectories, and geopolitical risk indices—quantitative measurements of China’s LNG import geopolitical risks were conducted annually from 2020 to 2024.
    Results Significant variations in comprehensive risks were identified. Nigeria and Qatar were classified as high-risk countries; six others, including Russia and the United States, as medium-risk; and Australia and Brunei as low-risk. Risk profiles demonstrated clear country-level heterogeneity. The United States showed pronounced source country risk, Nigeria had the highest transportation corridor risk, while both Qatar and Nigeria faced elevated key chokepoint risks. Infrastructure vulnerabilities were widespread in many countries. Dominant risk drivers varied by country, including policy uncertainty in the United States, route fragility in Nigeria, and single-corridor dependence in Qatar.
    Conclusion The multi-dimensional characteristics and country-level heterogeneity of geopolitical risks in China’s LNG imports highlight the need to shift energy security governance from broad narratives to targeted, spatially disaggregated strategies. Implementing tailored approaches based on the dominant risk type of each source country is crucial for enhancing supply resilience. This study offers an analytical tool for quantifying energy geopolitical risks, while future research should integrate dynamic early-warning models to strengthen real-time risk monitoring.

     

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